SimpleFunctions

Raymond Ford to win O Shaquie Foster vs Raymond Ford

Raymond Ford is priced at 37¢ on Kalshi. Current book: 35¢ bid, 37¢ ask, 2¢ spread. This outcome ranks #2 of 2 inside O Shaquie Foster vs Raymond Ford Winner.

Price history

37¢ current

+3¢
30¢40¢
May 23, 2026May 27, 2026

Contract brief

If Raymond Ford wins the O Shaquie Foster vs Raymond Ford boxing match originally scheduled for May 30, 2026, then the market resolves to Yes.

Outcome

Raymond Ford

Rank

#2 of 2

Leader

O Shaquie Foster 65¢

Range

34¢-65¢

Family volume

$5K

Identifier

KXBOXING-26MAY30FOSTERFORD-FORD

May 27, 2026, 10:08 PM UTC · 28m ago

Implied probability

37¢
Latest venue quote
May 27, 2026, 10:08 PM UTC · 28m ago

Bid

35¢

Ask

37¢

Spread

24h volume

$2K

Family rank

#2 of 2

2 outcomes · O Shaquie Foster vs Raymond Ford Winner

Closes

Jun 13, 2026

Family volume

$5K

Orderbook snapshot

35 / 37¢

Kalshi
2¢ spread
BidSize
35¢49
29¢499
28¢1.0K
5¢2.5K
AskSize
37¢21
38¢13
39¢1.6K
41¢2.5K
42¢1.0K

Contract terms

What resolves this market.

YES condition

If Raymond Ford wins the O Shaquie Foster vs Raymond Ford boxing match originally scheduled for May 30, 2026, then the market resolves to Yes.

Venue

Kalshi

Closes

Jun 13, 2026

Identifier

KXBOXING-26MAY30FOSTERFORD-FORD

SF Signal
SF Index
4169.29
Regime
neutral

Event family

O Shaquie Foster vs Raymond Ford Winner.

The same race as a probability stack: rank, volume, and where this contract sits against the other outcomes.

Total volume

$5K

Outcomes

2

Highest price

O Shaquie Foster 65¢

Current share

34%

Indicators

Yield, cliff risk, volatility, and regime.

IY (Yes)

4169.3%

IY (No)

1106.5%

Adj IY

4169%

CRI

2

RV

442%

VR

0.69

Regime

neutral

Score

0.5

Full indicator table

4169.3%
1106.5%
Adj IY
4169%
2
RV
442%
VR
0.69
IAR
0.6/h

Odds pages

Related prediction questions

Browse odds

Related readings

Matched from SimpleFunctions blog, opinions, technical guides, concepts, and learn pages.

Browse library
Opinioncomparison

Kalshi vs Polymarket: Mechanics, Fees, Regulation, Liquidity (2026)

Side-by-side comparison of Kalshi and Polymarket in 2026. Fee math, calibration data, withdrawal speed, and a decision tree for picking the right venue.

Blogmarkets

Kalshi vs Polymarket: Which Prediction Market Should You Trade?

In-depth comparison of Kalshi and Polymarket for prediction market traders. Regulatory structure, liquidity, fees, API tooling, and cross-venue trading with SimpleFunctions.

Technicalguide

Kalshi vs Polymarket: A Developer's Comparison of APIs, Orderbooks, and Liquidity

Data-driven comparison of Kalshi and Polymarket APIs, orderbooks, rate limits, and liquidity. Code examples for building on both prediction markets.

Opinionanalysis

Liquidity Availability Is the Real Edge in Prediction Markets

Implied yield, cliff risk, and overround all describe what to trade. Liquidity Availability Score describes whether the orderbook can absorb the trade. Why LAS is the indicator that decides who actually books P&L.

Blogmarkets

Prediction Market Orderbook Analysis: Reading Depth, Spread, and Liquidity

How to read prediction market orderbooks. Binary settlement, spread-as-percentage, depth asymmetry, executable edge calculation, and cross-venue arbitrage analysis.

Opinionanalysis

Implied Yield vs Raw Probability: Why Bond-Adjacent Prediction Markets Need a Different Lens

Why fixed-income-adjacent prediction-market contracts need to be priced in implied yield, not raw probability, with two real Kalshi Fed-decision contracts as a case study.

SimpleFunctions context

Index, screen, query, and monitor.

Open index

How we compute these odds

SimpleFunctions aggregates live prediction-market contracts from Kalshi and Polymarket. Each slug groups contracts that resolve on the same underlying event, identified by venue event_id.

For binary slugs, the headline probability is the liquidity-weighted mid-price across all bound contracts. For multi-outcome slugs (e.g. elections with 3+ candidates), the headline is the leader’s price; we never arithmetically average disjoint outcomes — that would produce a number with no real-world meaning.

Snapshots refresh every 5 minutes during market hours; daily aggregates are computed at 04:00 UTC. The 30-day sparkline is drawn from per-ticker daily means stored in market_indicator_daily; 24h delta and movement events are derived from the same source.